\documentclass[]{elsarticle}
\usepackage{caption}
\usepackage{booktabs}
\begin{document}% latex table generated in R 3.1.0 by xtable 1.7-4 package
% Tue Apr  7 08:56:19 2015
\begin{table}[ht]
\centering
\begin{tabular}{llrrr}
  \toprule
Type & Model & Solved & PAR10 & MCP \\ 
  \midrule
baseline & vbs & 0.94 & 400.18 & 0.00 \\ 
  baseline & singleBestByPar & 0.86 & 880.55 & 58.88 \\ 
  baseline & singleBestBySuccesses & 0.86 & 880.55 & 58.88 \\ 
  baseline & singleBest & 0.86 & 880.55 & 58.88 \\ 
  classif & ksvm & 0.89 & 691.99 & 32.04 \\ 
  classif & randomForest & 0.88 & 712.22 & 31.43 \\ 
  classif & rpart & 0.89 & 654.97 & 28.43 \\ 
  cluster & XMeans & 0.89 & 701.84 & 37.69 \\ 
  regr & lm & 0.90 & 615.09 & 26.08 \\ 
  regr & randomForest & 0.92 & 509.12 & 16.05 \\ 
  regr & rpart & 0.90 & 624.92 & 31.72 \\ 
   \bottomrule
\end{tabular}
\caption{Full experimental results for scenario ASP-POTASSCO. The following feature steps were used: Static (38 features).
The cost for using the feature steps (adapted for presolving) is 1404.25, on average 1.0852 per instance.} 
\end{table}
% latex table generated in R 3.1.0 by xtable 1.7-4 package
% Tue Apr  7 08:56:20 2015
\begin{table}[ht]
\centering
\begin{tabular}{llrrr}
  \toprule
Type & Model & Solved & PAR10 & MCP \\ 
  \midrule
baseline & vbs & 0.88 & 6344.25 & 0.00 \\ 
  baseline & singleBestByPar & 0.86 & 7201.56 & 79.14 \\ 
  baseline & singleBestBySuccesses & 0.86 & 7201.56 & 79.14 \\ 
  baseline & singleBest & 0.86 & 7201.56 & 79.14 \\ 
  classif & ksvm & 0.87 & 6558.80 & 14.45 \\ 
  classif & randomForest & 0.87 & 6677.64 & 22.12 \\ 
  classif & rpart & 0.87 & 6488.16 & 10.51 \\ 
  cluster & XMeans & 0.86 & 7005.38 & 60.83 \\ 
  regr & lm & 0.87 & 6633.48 & 22.43 \\ 
  regr & randomForest & 0.87 & 6466.71 & 11.30 \\ 
  regr & rpart & 0.86 & 6927.99 & 50.14 \\ 
   \bottomrule
\end{tabular}
\caption{Full experimental results for scenario CSP-2010. The following feature steps were used: all-feats (86 features).
} 
\end{table}
% latex table generated in R 3.1.0 by xtable 1.7-4 package
% Tue Apr  7 08:56:21 2015
\begin{table}[ht]
\centering
\begin{tabular}{llrrr}
  \toprule
Type & Model & Solved & PAR10 & MCP \\ 
  \midrule
baseline & vbs & 0.85 & 3127.24 & 0.00 \\ 
  baseline & singleBestByPar & 0.77 & 4893.14 & 190.90 \\ 
  baseline & singleBestBySuccesses & 0.77 & 4893.14 & 190.90 \\ 
  baseline & singleBest & 0.77 & 4893.14 & 190.90 \\ 
  classif & ksvm & 0.83 & 3553.71 & 38.01 \\ 
  classif & randomForest & 0.82 & 3744.78 & 56.48 \\ 
  classif & rpart & 0.82 & 3795.52 & 64.07 \\ 
  cluster & XMeans & 0.82 & 3833.90 & 80.87 \\ 
  regr & lm & 0.82 & 3777.87 & 68.00 \\ 
  regr & randomForest & 0.84 & 3367.55 & 24.45 \\ 
  regr & rpart & 0.82 & 3789.72 & 79.84 \\ 
   \bottomrule
\end{tabular}
\caption{Full experimental results for scenario MAXSAT12-PMS. The following feature steps were used: group-basics (37 features).
The cost for using the feature steps (adapted for presolving) is 132.54, on average 0.151301 per instance.} 
\end{table}
% latex table generated in R 3.1.0 by xtable 1.7-4 package
% Tue Apr  7 08:56:21 2015
\begin{table}[ht]
\centering
\begin{tabular}{llrrr}
  \toprule
Type & Model & Solved & PAR10 & MCP \\ 
  \midrule
baseline & vbs & 1.00 & 227.60 & 0.00 \\ 
  baseline & singleBestByPar & 0.81 & 7002.91 & 688.77 \\ 
  baseline & singleBestBySuccesses & 0.81 & 7002.91 & 688.77 \\ 
  baseline & singleBest & 0.81 & 7002.91 & 688.77 \\ 
  classif & ksvm & 0.86 & 5172.48 & 518.31 \\ 
  classif & randomForest & 0.85 & 5688.94 & 542.93 \\ 
  classif & rpart & 0.88 & 4634.23 & 471.90 \\ 
  cluster & XMeans & 0.85 & 5756.43 & 548.94 \\ 
  regr & lm & 0.84 & 5885.05 & 554.60 \\ 
  regr & randomForest & 0.85 & 5546.52 & 523.47 \\ 
  regr & rpart & 0.85 & 5645.92 & 561.39 \\ 
   \bottomrule
\end{tabular}
\caption{Full experimental results for scenario PREMARSHALLING-ASTAR-2013. The following feature steps were used: all (16 features).
} 
\end{table}
% latex table generated in R 3.1.0 by xtable 1.7-4 package
% Tue Apr  7 08:56:25 2015
\begin{table}[ht]
\centering
\begin{tabular}{llrrr}
  \toprule
Type & Model & Solved & PAR10 & MCP \\ 
  \midrule
baseline & vbs & 0.89 & 4105.89 & 0.00 \\ 
  baseline & singleBestByPar & 0.63 & 13443.35 & 957.46 \\ 
  baseline & singleBestBySuccesses & 0.63 & 13443.35 & 957.46 \\ 
  baseline & singleBest & 0.63 & 13443.35 & 957.46 \\ 
  classif & ksvm & 0.82 & 6554.71 & 269.43 \\ 
  classif & randomForest & 0.82 & 6571.70 & 270.32 \\ 
  classif & rpart & 0.75 & 9019.04 & 509.89 \\ 
  cluster & XMeans & 0.76 & 8791.76 & 509.24 \\ 
  regr & lm & 0.83 & 6246.96 & 235.58 \\ 
  regr & randomForest & 0.84 & 5858.31 & 201.35 \\ 
  regr & rpart & 0.81 & 6857.20 & 297.85 \\ 
   \bottomrule
\end{tabular}
\caption{Full experimental results for scenario PROTEUS-2014. The following feature steps were used: csp (36 features).
The cost for using the feature steps (adapted for presolving) is 26059.7, on average 6.4809 per instance.} 
\end{table}
% latex table generated in R 3.1.0 by xtable 1.7-4 package
% Tue Apr  7 08:56:26 2015
\begin{table}[ht]
\centering
\begin{tabular}{llrrr}
  \toprule
Type & Model & Solved & PAR10 & MCP \\ 
  \midrule
baseline & vbs & 0.77 & 8337.10 & 0.00 \\ 
  baseline & singleBestByPar & 0.58 & 15330.17 & 716.76 \\ 
  baseline & singleBestBySuccesses & 0.58 & 15330.17 & 716.76 \\ 
  baseline & singleBest & 0.58 & 15330.17 & 716.76 \\ 
  classif & ksvm & 0.71 & 10428.66 & 220.50 \\ 
  classif & randomForest & 0.73 & 9776.12 & 160.07 \\ 
  classif & rpart & 0.72 & 10316.90 & 227.17 \\ 
  cluster & XMeans & 0.67 & 12089.12 & 412.55 \\ 
  regr & lm & 0.71 & 10388.71 & 227.93 \\ 
  regr & randomForest & 0.75 & 9074.97 & 98.40 \\ 
  regr & rpart & 0.71 & 10405.47 & 244.69 \\ 
   \bottomrule
\end{tabular}
\caption{Full experimental results for scenario QBF-2011. The following feature steps were used: all-feats (46 features).
} 
\end{table}
% latex table generated in R 3.1.0 by xtable 1.7-4 package
% Tue Apr  7 08:56:26 2015
\begin{table}[ht]
\centering
\begin{tabular}{llrrr}
  \toprule
Type & Model & Solved & PAR10 & MCP \\ 
  \midrule
baseline & vbs & 0.74 & 13360.66 & 0.00 \\ 
  baseline & singleBestByPar & 0.50 & 25589.27 & 1434.69 \\ 
  baseline & singleBestBySuccesses & 0.50 & 25589.27 & 1434.69 \\ 
  baseline & singleBest & 0.50 & 25649.09 & 1342.48 \\ 
  classif & ksvm & 0.65 & 18115.34 & 473.25 \\ 
  classif & randomForest & 0.64 & 18495.53 & 549.21 \\ 
  classif & rpart & 0.62 & 19120.77 & 567.13 \\ 
  cluster & XMeans & 0.50 & 25268.29 & 1094.83 \\ 
  regr & lm & 0.60 & 20245.73 & 629.67 \\ 
  regr & randomForest & 0.65 & 17897.90 & 407.91 \\ 
  regr & rpart & 0.61 & 19923.46 & 611.01 \\ 
   \bottomrule
\end{tabular}
\caption{Full experimental results for scenario SAT11-HAND. The following feature steps were used: Pre (6 features).
The cost for using the feature steps (adapted for presolving) is 290.88, on average 0.982703 per instance.} 
\end{table}
% latex table generated in R 3.1.0 by xtable 1.7-4 package
% Tue Apr  7 08:56:26 2015
\begin{table}[ht]
\centering
\begin{tabular}{llrrr}
  \toprule
Type & Model & Solved & PAR10 & MCP \\ 
  \midrule
baseline & vbs & 0.84 & 8187.52 & 0.00 \\ 
  baseline & singleBestByPar & 0.72 & 14605.90 & 718.39 \\ 
  baseline & singleBestBySuccesses & 0.72 & 14605.90 & 718.39 \\ 
  baseline & singleBest & 0.72 & 14605.90 & 718.39 \\ 
  classif & ksvm & 0.71 & 14806.66 & 675.40 \\ 
  classif & randomForest & 0.72 & 14487.82 & 646.28 \\ 
  classif & rpart & 0.72 & 14317.87 & 622.76 \\ 
  cluster & XMeans & 0.68 & 16282.51 & 810.79 \\ 
  regr & lm & 0.72 & 14442.59 & 611.91 \\ 
  regr & randomForest & 0.76 & 12598.37 & 413.50 \\ 
  regr & rpart & 0.69 & 15867.58 & 684.43 \\ 
   \bottomrule
\end{tabular}
\caption{Full experimental results for scenario SAT11-INDU. The following feature steps were used: Pre (6 features).
The cost for using the feature steps (adapted for presolving) is 3332, on average 11.1067 per instance.} 
\end{table}
% latex table generated in R 3.1.0 by xtable 1.7-4 package
% Tue Apr  7 08:56:27 2015
\begin{table}[ht]
\centering
\begin{tabular}{llrrr}
  \toprule
Type & Model & Solved & PAR10 & MCP \\ 
  \midrule
baseline & vbs & 0.82 & 9186.44 & 0.00 \\ 
  baseline & singleBestByPar & 0.60 & 19916.36 & 979.92 \\ 
  baseline & singleBestBySuccesses & 0.60 & 19916.36 & 979.92 \\ 
  baseline & singleBest & 0.60 & 19916.36 & 979.92 \\ 
  classif & ksvm & 0.77 & 11483.55 & 182.54 \\ 
  classif & randomForest & 0.79 & 10529.32 & 128.08 \\ 
  classif & rpart & 0.79 & 10595.24 & 118.61 \\ 
  cluster & XMeans & 0.78 & 11330.39 & 178.86 \\ 
  regr & lm & 0.78 & 11268.09 & 191.50 \\ 
  regr & randomForest & 0.80 & 10173.51 & 71.87 \\ 
  regr & rpart & 0.76 & 12009.88 & 259.12 \\ 
   \bottomrule
\end{tabular}
\caption{Full experimental results for scenario SAT11-RAND. The following feature steps were used: Pre (6 features).
The cost for using the feature steps (adapted for presolving) is 47.11, on average 0.0785167 per instance.} 
\end{table}
% latex table generated in R 3.1.0 by xtable 1.7-4 package
% Tue Apr  7 08:56:29 2015
\begin{table}[ht]
\centering
\begin{tabular}{llrrr}
  \toprule
Type & Model & Solved & PAR10 & MCP \\ 
  \midrule
baseline & vbs & 0.99 & 241.32 & 0.00 \\ 
  baseline & singleBestByPar & 0.75 & 3079.89 & 302.51 \\ 
  baseline & singleBestBySuccesses & 0.75 & 3079.89 & 302.51 \\ 
  baseline & singleBest & 0.75 & 3079.89 & 302.51 \\ 
  classif & ksvm & 0.90 & 1271.83 & 103.45 \\ 
  classif & randomForest & 0.92 & 1060.72 & 77.85 \\ 
  classif & rpart & 0.79 & 2600.35 & 219.33 \\ 
  cluster & XMeans & 0.75 & 3132.93 & 294.25 \\ 
  regr & lm & 0.89 & 1473.02 & 128.75 \\ 
  regr & randomForest & 0.93 & 943.20 & 66.37 \\ 
  regr & rpart & 0.84 & 2072.33 & 176.90 \\ 
   \bottomrule
\end{tabular}
\caption{Full experimental results for scenario SAT12-ALL. The following feature steps were used: Pre (6 features).
The cost for using the feature steps (adapted for presolving) is 9021.19, on average 5.58934 per instance.} 
\end{table}
% latex table generated in R 3.1.0 by xtable 1.7-4 package
% Tue Apr  7 08:56:30 2015
\begin{table}[ht]
\centering
\begin{tabular}{llrrr}
  \toprule
Type & Model & Solved & PAR10 & MCP \\ 
  \midrule
baseline & vbs & 0.70 & 3662.24 & 0.00 \\ 
  baseline & singleBestByPar & 0.48 & 6338.90 & 254.76 \\ 
  baseline & singleBestBySuccesses & 0.48 & 6338.90 & 254.76 \\ 
  baseline & singleBest & 0.48 & 6338.90 & 254.76 \\ 
  classif & ksvm & 0.62 & 4694.85 & 94.10 \\ 
  classif & randomForest & 0.63 & 4552.01 & 77.84 \\ 
  classif & rpart & 0.56 & 5402.77 & 154.81 \\ 
  cluster & XMeans & 0.49 & 6144.18 & 221.04 \\ 
  regr & lm & 0.62 & 4619.96 & 89.32 \\ 
  regr & randomForest & 0.66 & 4204.49 & 53.56 \\ 
  regr & rpart & 0.56 & 5354.22 & 148.37 \\ 
   \bottomrule
\end{tabular}
\caption{Full experimental results for scenario SAT12-HAND. The following feature steps were used: Pre (6 features).
The cost for using the feature steps (adapted for presolving) is 801.95, on average 1.04557 per instance.} 
\end{table}
% latex table generated in R 3.1.0 by xtable 1.7-4 package
% Tue Apr  7 08:56:32 2015
\begin{table}[ht]
\centering
\begin{tabular}{llrrr}
  \toprule
Type & Model & Solved & PAR10 & MCP \\ 
  \midrule
baseline & vbs & 0.82 & 2221.50 & 0.00 \\ 
  baseline & singleBestByPar & 0.74 & 3266.05 & 128.35 \\ 
  baseline & singleBestBySuccesses & 0.74 & 3266.05 & 128.35 \\ 
  baseline & singleBest & 0.74 & 3266.05 & 128.35 \\ 
  classif & ksvm & 0.76 & 3060.12 & 81.07 \\ 
  classif & randomForest & 0.77 & 2829.61 & 44.81 \\ 
  classif & rpart & 0.71 & 3617.44 & 127.88 \\ 
  cluster & XMeans & 0.72 & 3519.41 & 128.00 \\ 
  regr & lm & 0.77 & 2933.77 & 74.62 \\ 
  regr & randomForest & 0.78 & 2792.21 & 43.94 \\ 
  regr & rpart & 0.74 & 3282.81 & 113.06 \\ 
   \bottomrule
\end{tabular}
\caption{Full experimental results for scenario SAT12-INDU. The following feature steps were used: Pre (6 features).
The cost for using the feature steps (adapted for presolving) is 22200.2, on average 19.0234 per instance.} 
\end{table}
% latex table generated in R 3.1.0 by xtable 1.7-4 package
% Tue Apr  7 08:56:33 2015
\begin{table}[ht]
\centering
\begin{tabular}{llrrr}
  \toprule
Type & Model & Solved & PAR10 & MCP \\ 
  \midrule
baseline & vbs & 0.76 & 2872.84 & 0.00 \\ 
  baseline & singleBestByPar & 0.73 & 3271.14 & 49.40 \\ 
  baseline & singleBestBySuccesses & 0.73 & 3271.14 & 49.40 \\ 
  baseline & singleBest & 0.73 & 3271.14 & 49.40 \\ 
  classif & ksvm & 0.73 & 3230.90 & 42.84 \\ 
  classif & randomForest & 0.73 & 3302.14 & 50.75 \\ 
  classif & rpart & 0.74 & 3169.53 & 36.86 \\ 
  cluster & XMeans & 0.74 & 3142.58 & 33.68 \\ 
  regr & lm & 0.73 & 3239.79 & 43.73 \\ 
  regr & randomForest & 0.73 & 3239.43 & 43.41 \\ 
  regr & rpart & 0.72 & 3375.73 & 60.83 \\ 
   \bottomrule
\end{tabular}
\caption{Full experimental results for scenario SAT12-RAND. The following feature steps were used: Pre (6 features).
The cost for using the feature steps (adapted for presolving) is 80.14, on average 0.0588399 per instance.} 
\end{table}
\end{document}